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L&W Engineering Jobs (NOW HIRING)

Process Engineer

Becker, MN ยท On-site

$76K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... TMI, L&W, X-rite, Schmidt Hammer; coordinates internal calibrations of Huygen internal bond ... Process Engineering internship experience * Strong computer skills, proficiency in Microsoft Office

Process Engineer

Becker, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... TMI, L&W, X-rite, Schmidt Hammer; coordinates internal calibrations of Huygen internal bond ... Process Engineering internship experience * Strong computer skills, proficiency in Microsoft Office

Backend Java Developer

Hagerstown, MD ยท On-site

$104K - $173K/yr

About JLG, an Oshkosh company JLG began in 1969, when our founder, John L. Grove set out to resolve ... The team member will work within the Connected Solutions engineering group to design, implement and ...

Backend Java Developer

Hagerstown, MD ยท On-site

$104K - $173K/yr

About JLG, an Oshkosh company JLG began in 1969, when our founder, John L. Grove set out to resolve ... The team member will work within the Connected Solutions engineering group to design, implement and ...

Backend Java Developer

Hagerstown, MD ยท On-site

$104K - $173K/yr

About JLG, an Oshkosh company JLG began in 1969, when our founder, John L. Grove set out to resolve ... The team member will work within the Connected Solutions engineering group to design, implement and ...

MP&L Program Analyst

Allen Park, MI ยท On-site

  • Medical

  • Dental

  • Life

  • PTO

Bachelor's Degree in Supply Chain Management, Engineering, Business Administration, or a related ... MP&L Plant Operations Experience You may not check every box, or your experience may look a little ...

$150 - $185/hr

W h e t h e r y o u ' r e a n a l y z i n g b l o c k c h a i n d a t a , d e v e l o p i n g c u t ... We work closely with Forward Deployed Engineering and Product teams to keep the government cloud ...

New

$140 - $210/hr

W h e t h e r y o u ' r e a n a l y z i n g b l o c k c h a i n d a t a , d e v e l o p i n g c u t ... enforcement, engineering and law who share a mission to create a safer world for people. We ...

New

$150 - $230/hr

W h e t h e r y o u ' r e a n a l y z i n g b l o c k c h a i n d a t a , d e v e l o p i n g c u t ... enforcement, engineering and law who share a mission to create a safer world for people. We ...

New

Showing results 41-60

L W Engineering information

See salary details

$23K

$81.8K

$160.5K

How much do l&w engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for l&w engineering in the United States is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What does L&W Engineering do?

L&W Engineering is a company that specializes in metal stamping, welding, and assembly services primarily for the automotive industry. They manufacture metal components and assemblies used in vehicles, such as structural parts and brackets. Their work involves engineering, designing, and producing high-quality metal products to meet the specifications of automotive manufacturers and suppliers. L&W Engineering is known for its technical expertise, advanced manufacturing processes, and commitment to quality. The company plays a vital role in supplying essential parts that contribute to the safety and performance of automobiles.

What are the key skills and qualifications needed to thrive as a manufacturing engineer at L&W Engineering?

To thrive as a Manufacturing Engineer at L&W Engineering, you need a strong background in mechanical or industrial engineering, process optimization, and a relevant engineering degree. Familiarity with CAD software, ERP systems, and quality management standards like ISO 9001 is typically required. Strong problem-solving, communication, and project management skills set standout candidates apart. These skills ensure efficient production processes, high product quality, and effective collaboration across teams in a competitive manufacturing environment.

What are some typical challenges faced by engineers at L&W Engineering, and how can new hires prepare for them?

Engineers at L&W Engineering often work in a fast-paced, manufacturing-focused environment where quick problem-solving and adaptability are crucial. Common challenges include troubleshooting production issues under tight deadlines, collaborating across multiple departments, and staying up-to-date with evolving automotive technologies. New hires can prepare by familiarizing themselves with lean manufacturing principles, honing their communication skills, and developing a proactive approach to continuous improvement. Embracing teamwork and seeking mentorship from experienced colleagues can also ease the transition and foster professional growth.

What is the difference between L&W Engineering vs Mechanical Engineering?

AspectL&W EngineeringMechanical Engineering
Required CredentialsTypically requires a diploma or associate degree in engineering technology or related fieldBachelor's degree in Mechanical Engineering or related field
Work EnvironmentOften involves hands-on work in manufacturing, construction sites, or industrial settingsIncludes design, analysis, and testing in offices, labs, or manufacturing plants
Industry UsageCommonly used in construction, manufacturing, and industrial sectorsWidely used across automotive, aerospace, energy, and manufacturing industries

While both L&W Engineering and Mechanical Engineering involve technical skills and industry applications, L&W Engineering typically focuses on practical, hands-on roles with shorter educational paths, whereas Mechanical Engineering emphasizes design and analysis with a bachelor's degree as a standard requirement.

More about L W Engineering jobs

What states have the most L&W Engineering jobs?

States with the most job openings for L&W Engineering jobs include:

Infographic showing various L&W Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $81,750 per year, or $39.3 per hour.

Machine Learning Lead - Geospatial, Bellwether

X, the moonshot factory

Mountain View, CA โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

M a c h i n e L e a r n i n g L e a d - G e o s p a t i a l , B e l l w e t h e r
Software Engineering Mountain View, CA (HQ)
About X, the Moonshot Factory
X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world's most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
About the Team:
Our team - Bellwether - operates at the intersection of machine learning, geospatial data, and pressing issues with enterprise customers, governments, and more. We focus on severe weather manifestations of climate change, such as wildfires, and aim to use a wide range of data and analytics to better understand and predict what these events could mean for communities and businesses across the globe. We do this through the detection and classification of the features and patterns of the natural and built worlds, the application of cutting-edge machine learning, and the redesign of the full geo-ML workflow. This work extends into development and production-level work as well, as Bellwether also has a number of products that are live with customers. The result: tools and models that allow a range of industries to better leverage earth observation insights.
About the role:
You will be a hands-on Machine Learning engineer, contributing to all aspects of the project's development and deployment of applications. We are looking for a motivated expert level ML Engineer with broad experience across systems architecture and design in one or more cloud platforms. This role would guide machine learning for Bellwether's real-world products, and is not a research-based role.
Our team is small but mighty and highly collaborative, and values pair programming and cooperative ideation. We are committed to agile principles and rely heavily on this framework for efficient sprints and cycles. We are looking for passionate and driven people, who are comfortable moving between creative, big-picture thinking and specifics of how to execute. We operate in a fast-paced, fluid environment as our team moves from early stage development into production phases.
How you will make 10x impact:
  • Embracing your ability to be a ML 'expert generalist', enjoying the fluidity of moving from architecting new production systems, to machine learning, to security and monitoring. From high level strategy to specific tactics.
  • Help drive and execute key decisions on software architecture and features, balancing business needs and our technology roadmap, balancing longevity with rapid prototyping
  • Contribute as a key team member to the creation of new systems and processes to ensure high quality development, deployment, and maintenance of live applications in production environments
  • Create and maintain Google Cloud Platform-based infrastructure for software development and high-volume production systems.
  • Present findings to team members, internal and external stakeholders, and help set a direction for future development.

What you should have:
  • Master's degree or PhD in Computer Science, Applied Mathematics, Physics, or equivalent practical experience
  • 7 years experience with the machine learning development pipeline: research, experimentation, and ML-Ops
  • Experience in engineering management or as a technical lead, with a track record of guiding team strategy and mentoring engineers while remaining hands-on.
  • Expertise in ML frameworks (e.g., PyTorch, TensorFlow/Keras/JAX) and Python libraries (e.g., NumPy, SciPy, Pandas).
  • Experience with numerous common software design patterns (for example, Observer, Decorator, Visitor, Producer/Consumer, etc).
  • Experience with open source tools such as: Git, TensorFlow, Apache Beam/Dataflow, Google Compute Engine.
  • Python proficiency.
  • Experience working on an early stage project and environment where prototype technologies are evolved into a production phase.
  • An ability to thrive in an Agile-driven team: iteratively sprinting toward goals and products, contributing new ideas, standards, and processes.
  • Experience interfacing with customers

It'd be great if you also had these:
  • Production-level experience in the geospatial industry, with a wide variety of tasks, including code development, designing for, implementing, and managing security measures and controls, troubleshooting and debugging, designing and implementing code testing processes, and monitoring deployed application's performance and health.
  • Experience working with a wide variety of geospatial data
  • Experience in Machine Learning Operations - scaling existing machine learning applications into production

The US base salary range for this full-time position is $197,000 - $311,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .